Stimulus Perception in Long-Distance Railway Mode Choice. (6th April 2023)
- Record Type:
- Journal Article
- Title:
- Stimulus Perception in Long-Distance Railway Mode Choice. (6th April 2023)
- Main Title:
- Stimulus Perception in Long-Distance Railway Mode Choice
- Authors:
- Isler, Cassiano Augusto
Blumenfeld, Marcelo
Caldeira, Gabriel Pereira
Roberts, Clive - Other Names:
- de Oña Rocío Academic Editor.
- Abstract:
- Abstract : In the context of countries in the so-called Global South, where passenger railway services are either nonexistent or poorly performed, discrete choice models are useful to identify the attributes that affect users' choices and provide insights on their behaviour in regional long-distance trips. Several theories and models have been proposed to understand travel behaviour for effective strategical decision in the transport field. The well-knownRandom Utility Maximization (RUM) approach has been widely used for such purposes, while the Random Regret Minimization (RRM) approach has been recently explored in the literature. However, the magnitude in the difference of levels of the attributes, or the stimulus perception, may affect the results of such models and biases the estimations. Therefore, this paper aims to assess the stimulus perception in mode choice to compare conventional rail (CR) and high-speed rail (HSR) services for passenger transport in intercity trips in Brazil. Estimations of RUM and RRM models were performed with a dataset from a stated preference survey comparing two railway technologies (CR and HSR) with other modes of transport (car, bus, and airplanes) for long-distance trips in the Southeast region of Brazil. Findings provide useful insights about the impacts of travel costs, travel times, and frequency of services, as well as sociodemographic characteristics of users. From the modelling outputs, it was found that users are affected by theAbstract : In the context of countries in the so-called Global South, where passenger railway services are either nonexistent or poorly performed, discrete choice models are useful to identify the attributes that affect users' choices and provide insights on their behaviour in regional long-distance trips. Several theories and models have been proposed to understand travel behaviour for effective strategical decision in the transport field. The well-knownRandom Utility Maximization (RUM) approach has been widely used for such purposes, while the Random Regret Minimization (RRM) approach has been recently explored in the literature. However, the magnitude in the difference of levels of the attributes, or the stimulus perception, may affect the results of such models and biases the estimations. Therefore, this paper aims to assess the stimulus perception in mode choice to compare conventional rail (CR) and high-speed rail (HSR) services for passenger transport in intercity trips in Brazil. Estimations of RUM and RRM models were performed with a dataset from a stated preference survey comparing two railway technologies (CR and HSR) with other modes of transport (car, bus, and airplanes) for long-distance trips in the Southeast region of Brazil. Findings provide useful insights about the impacts of travel costs, travel times, and frequency of services, as well as sociodemographic characteristics of users. From the modelling outputs, it was found that users are affected by the magnitude of travel costs, time, and frequency only in business trips by HSR in the Brazilian context. … (more)
- Is Part Of:
- Journal of advanced transportation. Volume 2023(2023)
- Journal:
- Journal of advanced transportation
- Issue:
- Volume 2023(2023)
- Issue Display:
- Volume 2023, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 2023
- Issue:
- 2023
- Issue Sort Value:
- 2023-2023-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-04-06
- Subjects:
- Transportation -- Periodicals
388.05 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2042-3195 ↗ - DOI:
- 10.1155/2023/3400555 ↗
- Languages:
- English
- ISSNs:
- 0197-6729
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 27075.xml